| 2025 | EMNLP | Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge. | Yan-Lun Chen, Yi-Ru Wei, Chia-Yi Hsu, Chi-Yu Li, Chun-Ying Huang, Ying-Dar Lin, Yu-Sung Wu, Wei-Bin Lee |
| 2025 | ICASSP | VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis. | Chia-Yi Hsu, Jia-You Chen, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang |
| 2024 | DSN | Road Decals as Trojans: Disrupting Autonomous Vehicle Navigation with Adversarial Patterns. | Wei-Jia Chen, Chia-Yi Hsu, Wei-Bin Lee, Chia-Mu Yu, Chun-Ying Huang |
| 2024 | ICLR | Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? | Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang |
| 2022 | AAAI | Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. | Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu |
| 2022 | ICASSP | Real-World Adversarial Examples Via Makeup. | Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu |
| 2021 | ICASSP | Non-Singular Adversarial Robustness of Neural Networks. | Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen |
| 2019 | CCS | Characterizing Adversarial Subspaces by Mutual Information. | Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu |